Jimin Park

2 papers indexed

arxivcs.CV2026-07-15

Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding

HanYeong Cho, Changwoo Kim, Taeuk Chu, Jimin Park

In this report, we introduce Eddy-VL 1.9B, a compressed multimodal embedding model built on Qwen3-VL-Embedding-2B for offline, edge-deployable vision-language retrieval. Eddy-VL targets air-gapped forensic and investigative settings where cloud APIs are unavailable and low latenc…

View free PDFSource page

arxivq-bio.QMcs.AIcs.LG2026-07-09

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology

Hyunjin Seo, Hyeon Hwang, Gyubok Lee, Jay Shin, Jimin Park, Taesoo Kim, et al.

The push toward large language models for biology (BioLM) has created a need for training corpora that can endow models with a genuine understanding of biology. However, existing biological resources, such as molecular databases, protein repositories, genomic annotations, single-…

View free PDFSource page